Granted Patent B2

US 12,354,437 · App. 18/225,818 · Granted Jul 8, 2025

Inventor: Yasushi Shigeta (Shiga, JP)

Assignee: ANGEL GROUP CO., LTD.

G07F17/3241A63F1/18A63F3/00157G06Q50/34G07F17/3206G07F17/322G07F17/3223G07F17/3234G07F17/3248G07F17/3251G07F17/3293A63F2001/001A63F1/14A63F2250/58

Abstract

Claims (18)

1. A management system for management of games in a casino having a plurality of game tables, comprising:

for each game table of the plurality of game tables:

a camera configured to capture an image of one or more chips on the game table;

an image analyzer with a deep learning structure configured to identify positions, types, and number of chips on the game table based on an image analysis of the image; and

a controller configured to, for each player position or each player at the game table, determine an amount bet based on the identified positions, types, and number of chips; and

a management device configured to, based on the amount bet for each player position or each player at each game table of the plurality of game tables:

calculate a profit rate, for a predetermined period of time or a predetermined number of games, and

detect a peculiar situation by using a machine learning model based on a transition of the profit rate.

2. The management device according to claim 1 , wherein, for each game table of the plurality of game tables, the image analyzer is configured to perform the image analysis on the image.

3. The management device according to claim 1 , wherein the management device is configured to receive, in association with each game table of the plurality of game tables, an indication of the bet amount of the game table for each player position or each player at the game table.

4. The management device according to claim 1 , wherein the management device is configured to provide a benefit to a player.

5. The management system according to claim 1 , further comprising a reader configured to read a member card of a player.

6. The management system according to claim 1 , further comprising, for each game table of the plurality of game tables, a player identification device configured to identify a player who plays at the game table.

7. The management system according to claim 6 , wherein the management device is further configured to record a bet amount for each player identified by the player identification device.

8. The management system according to claim 1 , wherein, for at least one game table of the plurality of game tables, the camera of the game table is configured to capture one or more images of a plurality of stacks of chips placed offset in the depth direction along with the layout of the betting areas of the game table.

9. The management system according to claim 8 , wherein, for the at least one game table of the plurality of game tables, the image analyzer of the game table is configured to recognize the chips even when some of the stacks of chips are hidden by other stacks of chips.

10. The management system according to claim 1 , wherein the machine learning model is a model of outputting a probability of being peculiar by using the transition of the profit rate as input, and

in a case where the probability is more than or equal to a predetermined threshold value, the management device determines that the peculiar situation is detected.

Assignments (2)

Priority Claims (1)

Continuity (4)

References Cited (119)